Platform Overview

AI that reads documents the way people do

Zyflox combines OCR, layout understanding and language models into one pipeline, turning any document into structured data your systems can use.

How the pipeline works

Ingestion → Extraction → Validation → Export

Step 1

Ingestion

Documents arrive via drag-drop, email, API or integrations.

Step 2

AI Extraction

OCR + LLM models read layout, text and context to pull fields.

Step 3

Validation

Confidence scoring and human-in-the-loop review catch edge cases.

Step 4

Export

Clean, structured data flows to your systems automatically.

Built for accuracy

Three layers working together

Accuracy isn't one model, it's a system. Zyflox layers proven techniques so the output you get is dependable enough to trust in production.

OCR & layout detection
Reads text, tables and structure, even from scans and photos.
LLM field extraction
Understands context to map content to the fields you actually need.
Human-in-the-loop validation
Low-confidence fields are flagged for a quick one-click review.
Confidence-scored output
Invoice #INV-204399%
VendorAcme Corp98%
PO NumberPO-887174%
Total$12,480.0099%

Fields below 80% confidence are flagged for review.

Manual entry vs. Zyflox

The difference is measurable

Manual entryZyflox
Time per document6–12 min~4 sec
Error rate1 in 20 fields<1%
Cost per 1,000 docs$300–$600From $40
Scales with volumeHire more peopleInstantly

See it on your documents

Upload a sample document and watch Zyflox structure it live.

Try the live demo